Python Advanced training course on practical technology application of language in the field of earth science
Time ：6 month 25 Japan -26 Japan 、7 month 2 Japan -3 Japan
python Advanced training course on practical technology application of machine learning and in-depth learning in the field of meteorology
Time ：7 month 30 Japan -31 Japan 、8 month 6 Japan -7 Japan
Python stay WRF Training course on practical technology application in model automation operation and pre-processing and post-processing
【 Video recording 】
Python Scientific research data visualization practice technology training course
【 Video recording 】
Python Machine learning core technology and case analysis practical application training course
【 Video recording 】
How to use python Web crawler batch access to public resource data training course
【 Video recording 】
Python Advanced training course on practical technology application in meteorology and oceanography
【 Video recording 】
more Python Applied courses Please check the end of the text
Course consultation ： Miss Gao 183-3023-9209（ Wechat synchronization ）
Python Advanced training course on practical technology application of language in the field of earth science
Training time ：6 month 25 Japan -26 Japan 、7 month 2 Japan -3 Japan 【 The entire 4 Day teaching , Provide playback 】
Training methods ： Live online + Student assistance group + Tutors practice face-to-face work exchange （ Join the student group after signing up 、 Review the meeting process ）
Course Introduction ：
Python It's powerful 、 free 、 Open source , Implement object-oriented programming language ,Python Able to run on Linux、Windows、Macintosh、AIX Operating system and different platforms （x86 and arm）,Python Simple syntax and support for dynamic input , Plus the nature of interpretative language , This makes it an ideal scripting language in many areas on most platforms , It is especially suitable for rapid application development .Python Has a rich and powerful library , To be able to make various modules in other languages （ In especial C/C++） It's easy to connect . except Python Standard library , Almost all industries have corresponding Python Software library , With NumPy、SciPy、Matplotlib and Pandas And so on Python Development of application library ,Python It plays an increasingly important role in the field of science and engineering , In data processing 、 Scientific Computing 、 mathematical modeling 、 The excellent performance of data mining and data visualization makes Python Geography in earth science 、 meteorological 、 Climate change, 、 hydrological 、 ecology 、 Sensors and other fields of academic research and engineering projects have been widely used and effectively solve various data analysis problems , We can see the future Python It will become the mainstream programming language in the field of science and engineering .
This course will start from Python Start with the basic usage of , Step by step , From data visualization to the use of common data analysis methods , Combined with specific examples of related disciplines , Let students learn from it .
Data benefits ：
Give CMIP6 Monthly data （500G+）
Contains the variable ： Temperature pressure wet wind radiation precipitation
Include scenarios ：historical、ssp126、ssp245、ssp370、ssp585
Give CMIP6 Daily data （1.8T+）
Contains the variable ： Temperature pressure wet wind radiation precipitation
Include scenarios ：historical、ssp126、ssp245、ssp370、ssp585
Global gift VIPPHEN Phenological data （40G+）
Time ：1981-2014, Annual data
Spatial resolution ：5.6km
Give ERA5-LAND Land reanalysis data （5T about ）
Time ：1951.1.1-2021.12.31 Temporal resolution ：hourly
Spatial resolution ：0.1°（ Equiangular lonlat Projection +wgs84）
contain 11 A variable ： temperature 、 pressure 、 radiation 、 evaporation 、 Precipitation 、 humidity 【 See data description document for details 】
notes ： Data gift is only available to participants , Contact the course consultant after registration , Mobile hard disk with enough mailing space , Send back the data after copying .（ Note: please protect the express delivery , Avoid hard disk damage ）
Course content introduction ：
python Advanced training course on practical technology application of machine learning and in-depth learning in the field of meteorology
Training time ：7 month 30 Japan -31 Japan 、8 month 6 Japan -7 Japan 【 The entire 4 Day teaching , Provide playback 】
Training methods ： Live online + Student assistance group + Tutors practice face-to-face work exchange （ Join the student group after signing up 、 Review the meeting process ）
Course Introduction ：
Python It's powerful 、 free 、 Open source , Implement object-oriented programming language , In data processing 、 Scientific Computing 、 mathematical modeling 、 Excellent performance in data mining and data visualization , These advantages make Python In meteorology 、 ocean 、 Geography 、 climate 、 It has been widely used in scientific research and engineering projects in geoscience fields such as hydrology and ecology . We can see the future Python Will become one of the mainstream programming languages .
Artificial intelligence and big data technology have achieved subversive results in many industries , The meteorological and marine fields have a large number of models and observation data , It is a natural scenario for big data and artificial intelligence applications .Python It is also the most popular language for machine learning and deep learning applications . For professionals in the field of Meteorology and ocean ,Python It is the first choice for machine learning and deep learning .
In order to help practitioners in the fields of Meteorology and oceanography to learn more systematically Python Application in the field of artificial intelligence ,AI Shangyanxiu specially held this training class , It aims to help students master Python The basis of practical operation and the theoretical basis of machine learning and deep learning , And further learn the specific cases of machine learning and in-depth learning in the field of meteorology . This course adopts “ Theoretical explanation + Hands on operation + Case actual combat ” A combination of ways , Explain in simple terms Python Application of artificial intelligence in the field of meteorology . Finish this course , Can not only master Python Programming skills and experience with machine learning and deep learning , It can be further applied in the professional field .
Data benefits ：
Give CMIP6 Monthly data （500G+）
Contains the variable ： Temperature pressure wet wind radiation precipitation
Include scenarios ：historical、ssp126、ssp245、ssp370、ssp585
Give CMIP6 Daily data （1.8T+）
Contains the variable ： Temperature pressure wet wind radiation precipitation
Include scenarios ：historical、ssp126、ssp245、ssp370、ssp585
Global gift VIPPHEN Phenological data （40G+）
Time ：1981-2014, Annual data
Spatial resolution ：5.6km
Give ERA5-LAND Land reanalysis data （5T about ）
Time ：1951.1.1-2021.12.31 Temporal resolution ：hourly
Spatial resolution ：0.1°（ Equiangular lonlat Projection +wgs84）
contain 11 A variable ： temperature 、 pressure 、 radiation 、 evaporation 、 Precipitation 、 humidity 【 See data description document for details 】
notes ： Data gift is only available to participants , Contact the course consultant after registration , Mobile hard disk with enough mailing space , Send back the data after copying .（ Note: please protect the express delivery , Avoid hard disk damage ）
Course content introduction ：
Python stay WRF Training course on practical technology application in model automation operation and pre-processing and post-processing
The way of the course ： Video recording
Curriculum advantages ： It can be viewed directly and permanently , Data codes will be provided , The student assistance group will help answer questions for a long time .
Course Introduction ：
Nowadays, people engaged in meteorology and its surrounding related fields , Meteorological numerical models and their data processing are often involved , Whether as a means of Operational Forecasting 、 Or as a scientific research tool , It is a very important skill to master meteorological numerical model and efficient pre-processing and post-processing language .WRF As an outstanding mesoscale meteorological numerical model , The mode has complete functions , It is the first choice of most people . And mastering patterns is only the first step , Further process the results of the numerical model into the products we need for business or scientific research , It's also an important job , In terms of current trends ,python Language is the first choice .
For most people , Especially new users ,WRF The installation of the mode is tedious and unnecessary , It can be used as a skill for subsequent advanced mastery , This course skips the tedious installation steps , The operating part of the direct focus mode , Through short and quick teaching , Quick master mode operation . further , take python Language and WRF Mode operation combined with , Automate mode operation , Improve the efficiency of scientific research and business . meanwhile , master python stay WRF Common scenarios for pre - and post-processing , Including data processing 、 Visual drawing, etc .
master WRF Pattern +Python The combined application of language , But in the weather 、 ocean 、 Geography 、 climate 、 Hydrology, ecology and other geoscience fields 、 It has been effectively applied in scientific research and engineering projects .
Course content introduction ：
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The latest is based on Python Scientific research data visualization practice technology training course
The way of the course ： Video recording
Curriculum advantages ： It can be viewed directly and permanently , Data codes will be provided , The student assistance group will help answer questions for a long time .
Course Introduction ：
In the past 20 Mid year , With the massive increase of data generated by society , Understanding of data 、 The need for interpretation and decision-making also increases . And fixity is human itself , So our brain must learn to understand these increasing data information . So-called “ A picture is worth a thousand words ”, For quantity 、 Data with increasing scale and complexity , Excellent data visualization is becoming more and more important .
In recent years ,Python Programming languages are loved by more and more researchers , Continue to win the rankings of multiple programming languages . In order to help scientific researchers learn more systematically Python Data visualization method under the environment , It's specially held “ be based on Python Scientific research data visualization practice technology ” training course , Depending on the Python development tool , It aims to help students master Python Programming basics , as well as Matplotlib、Seaborn、Bokeh、Pyecharts、Plotly、Altair、NetworkX、Basemap、Geoplotlib Basic drawing and advanced drawing skills of common visual libraries .
This training adopts “ Theoretical explanation + Case actual combat + Hands on operation + Discussion and interaction ” A combination of ways , Through a large number of specific cases , The whole 、 Analyze in simple terms Python Experience and skills required for data visualization .
Course content introduction ：
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full set Python The core technology of machine learning and the practical application of case analysis
The way of the course ： Video recording
Curriculum advantages ： It can be viewed directly and permanently , Data codes will be provided , The student assistance group will help answer questions for a long time .
Course Introduction ： Associate Professor Yu Lei , Mainly engaged in MATLAB Programming 、 Machine learning and data mining 、 Data visualization and software development 、 Physiological system modeling and simulation 、 Biomedical signal processing , Have rich practical application experience , Editor in chief 《MATLAB Intelligent algorithm 30 A case study 》、《MATLAB neural network 43 A case study 》 Related works . Many high-level international academic research papers have been published .
Course content introduction ：
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How to use python Web crawlers obtain public resource data in batches
The way of the course ： Video recording
Curriculum advantages ： It can be viewed directly and permanently , Data codes will be provided , The student assistance group will help answer questions for a long time .
Course Introduction ：
stay 21 Under the tide of the data revolution in the th century , The value of big data bearing continues to increase , The application scope of big data continues to expand , It has penetrated into many fields of natural science and Social Science , It provides a huge development opportunity for Discipline Development and scientific research . today , A large number of public resources and public data sets are shared on the Internet in various forms , How to obtain mass public resource data quickly and in batches determines the efficiency of scientific research .Python Web crawler is an important means to obtain network data in batches , It sends the request 、 Get the page 、 Parsing the page 、 Download content 、 Storage content and other processes , Automatically get the web page content according to the link address of the web page , It is characterized by rapid batch production 、 Automatic operation . Due to web page content 、 The results and anti - crawler mechanism are constantly updated , Having a crawler is not once and for all , It needs to be updated in time for different web pages , The key technology to master the crawler is to successfully crawl data from various complex web pages and even become the basis for crawler engineers .
This course takes the public data resources website as an example , Explain how to use in case of legal compliance Python Web crawlers get a lot of data in batches , Zero basis master the correct path to learn crawlers , Show the economy with vivid cases 、 ecology 、 meteorological 、 Agriculture 、 Business and other network big data acquisition .
Course content introduction ：
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Python Advanced training course on practical technology application in meteorology and oceanography
The way of the course ： Video recording
Curriculum advantages ： It can be viewed directly and permanently , Data codes will be provided , The student assistance group will help answer questions for a long time .
Course Introduction ：
Python It's powerful 、 free 、 Open source , Implement object-oriented programming language , Can be used on different operating systems and platforms , Its simple syntax and explanatory language make it an ideal scripting language . In addition to the standard library , There are also rich third-party libraries , And be able to use other languages （C/C++、Fortran） The code you write is tied together .Python In data processing 、 Scientific Computing 、 mathematical modeling 、 Excellent performance in data mining and data visualization . These advantages make Python In meteorology 、 ocean 、 Geography 、 climate 、 It has been widely used in scientific research and engineering projects in geoscience fields such as hydrology and ecology . We can see the future Python It will become one of the mainstream programming languages in the field of Meteorology and oceanography .
This course will focus on Python Use in meteorology and oceanography , from Python Basic use starts , Step by step , This paper introduces the commonly used scientific computing and visualization libraries , Combined with practice , From meteorological ocean data visualization to common data analysis methods , Let students learn from it , Finally master python This is a sharp tool for work , Help future work efficiency .
Course content introduction ：
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Detailed course documents , Please contact the program leader
Miss Gao ：18330239209（ Micro electricity ）
